A dataset of tracked mesoscale precipitation systems in the tropicsRussell, James (Avtor) Rajagopal, Manikandan (Avtor) Veals, Peter (Avtor) Skok, Gregor (Avtor) Zipser, Edward (Avtor) Tinoco-Morales, Michell (Avtor) meteorologyprecipitationconvectionMesoscale Convective Systems (MCSs) are often quantified via surface-basedradar network, geostationary satellite, or low earth orbit satellite observations.However, each of these has drawbacks for detecting cloud systems such as alack of global coverage, a lack of variables to quantify deep convective cloudand precipitation properties, and a lack of continuous observations of individualMCSs, respectively. To generate a dataset of tropical Tracked IMERG MesoscalePrecipitation Systems (TIMPS), we use the Forward in Time tracking algorithmto track precipitation systems in the Integrated Multi-satellitE Retrievals for theGlobal Precipitation Mission (IMERG). IMERG is a global gridded precipitationproduct that incorporates observations from a constellation of satellites with pas-sive microwave sensors and other sources, allowing the TIMPS dataset to havecontinuous temporal precipitation information for MCSs in a global tropical stripwith data every 30 min in time and 0.1° in space. TIMPS are provided in a pub-licly available data base with a variety of variables including MCS size, motion,and precipitation properties, estimations of MCS life cycle stages, and their prox-imity to the nearest tropical cyclone. By combining the TIMPS dataset with theUniversity of Washington Convective Features database, we also provide snap-shots of information from more spatially detailed space-borne radar coverage.The TIMPS dataset provides the means for detailed long-term and large- scalestudy of MCSs in all regions of the tropics with applications such as compositestudies of MCS life cycles and the evaluation of model performance.20252025-03-13 10:16:32Članek v reviji167811UDK: 551.515ISSN pri članku: 2049-6060DOI: 10.1002/gdj3.275COBISS_ID: 220873475sl